Simulator performance, microsleep episodes, and subjective sleepiness: normative data using convergent methodologies to assess driver drowsiness.
about
The Case for Addressing Operator FatigueModeling fatigue over sleep deprivation, circadian rhythm, and caffeine with a minimal performance inhibitor modelHuman fatigue and the crash of the airship Italia.Identifying periods of drowsy driving using EEG.The ability to self-monitor cognitive performance during 60 h total sleep deprivation and following 2 nights recovery sleep.Physiological signal analysis for fatigue level of experienced and inexperienced drivers.
P2860
Simulator performance, microsleep episodes, and subjective sleepiness: normative data using convergent methodologies to assess driver drowsiness.
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2006 nî lūn-bûn
@nan
2006 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Simulator performance, microsl ...... s to assess driver drowsiness.
@ast
Simulator performance, microsl ...... s to assess driver drowsiness.
@en
type
label
Simulator performance, microsl ...... s to assess driver drowsiness.
@ast
Simulator performance, microsl ...... s to assess driver drowsiness.
@en
prefLabel
Simulator performance, microsl ...... s to assess driver drowsiness.
@ast
Simulator performance, microsl ...... s to assess driver drowsiness.
@en
P2093
P1476
Simulator performance, microsl ...... s to assess driver drowsiness.
@en
P2093
Colin M Shapiro
Eric L Bulmash
Henry J Moller
Jonathan Nhan
Leonid Kayumov
P304
P356
10.1016/J.JPSYCHORES.2006.04.007
P577
2006-09-01T00:00:00Z